{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 15: Mean [Entropic Value at Risk (EVaR)](https://en.wikipedia.org/wiki/Entropic_value_at_risk) Optimization\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "yf.pdr_override()\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1954%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2410%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2412%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>-0.1466%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9145%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1389%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2207%</td>\n",
       "      <td>-0.8855%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0309%</td>\n",
       "      <td>-1.0410%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2845%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2737%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5707%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7641%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1386%</td>\n",
       "      <td>-0.9719%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3384%</td>\n",
       "      <td>0.1693%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6435%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9869%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9918%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4057%  0.4035%  1.9693%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2412% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1389% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2207%   \n",
       "2016-01-08   0.2737% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5707%   \n",
       "2016-01-11  -4.3384%  0.1693% -1.6851% -1.0215%  0.0915% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1954%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8855% -4.6059% -2.5394%  ... -2.2066% -3.0309% -1.0410%   \n",
       "2016-01-08 -1.6402% -1.7641% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6435%  0.0000%  0.9869%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2410%  1.3734% -1.0857%  \n",
       "2016-01-06 -1.5646% -0.1466% -1.0155% -0.7653% -3.0048% -0.9034% -2.9145%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2845% -2.0570% -0.5492% -3.0019%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3839% -0.1117% -1.1386% -0.9719% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9918%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data[assets].pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Mean EVaR Portfolios\n",
    "\n",
    "### 2.1 Calculating the portfolio that maximizes Return/EVaR ratio.\n",
    "\n",
    "The Entropic Value at Risk which is a new risk measure introduced by Ahmadi-Javid (2012) and is defined as:\n",
    "\n",
    "$$\n",
    "\\text{EVaR}_{\\alpha}(X) = \\inf_{z>0} \\left \\{z\\log \\left ( \\frac{1}{\\alpha} M_{X} (\\frac{1}{z}) \\right ) \\right \\}\n",
    "$$\n",
    "\n",
    "Where $M_{X} (t) = \\text{E} [e^{tX}]$ is the moment generating function and $\\alpha \\in [0,1]$ is the significance level.\n",
    "    \n",
    "In a similar way than Markowitz model, the mean EVaR model can be expressed as one of the following problems:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\mu w - \\lambda \\text{EVaR}_{\\alpha}(r w)\\\\\n",
    "& & & 1^{T}w = 0 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\max_{w,\\, z} & & \\frac{\\mu w - r_{f}}{\\lambda \\text{EVaR}_{\\alpha}(r w)}\\\\\n",
    "& & & 1^{T}w = 0 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\text{EVaR}_{\\alpha}(r w)\\\\\n",
    "& & & 1^{T}w = 0 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "Where $z$ is the factor of EVaR, $w$ are the weights of assets, $\\mu$ is the mean vector, $\\lambda$ is the risk aversion factor, $r$ is the returns matrix and $r_{f}$ the risk free rate.\n",
    "\n",
    "It is recommended to use MOSEK to optimize EVaR, due to it requires exponential cone programming to solve the problem.\n",
    "\n",
    "Instructions to install MOSEK are in this __[link](https://docs.mosek.com/9.2/install/installation.html)__, is better to install using Anaconda. Also you will need a license, I recommend you that ask for an academic license __[here](https://www.mosek.com/products/academic-licenses/)__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.5489%</td>\n",
       "      <td>4.4680%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>30.2696%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>14.0224%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA      CNP     CPB      DE  \\\n",
       "weights 0.0000% 1.5489% 4.4680% 0.0000% 0.0000% 30.2696% 0.0000% 0.0000%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T      TGT  \\\n",
       "weights 0.0000% 0.0000%  ... 0.0000% 0.0000% 0.0000% 0.0000% 0.0000% 14.0224%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 0.0000% 0.0000% 0.0000% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.Portfolio as pf\n",
    "\n",
    "# Building the portfolio object\n",
    "port = pf.Portfolio(returns=Y)\n",
    "\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "port.solvers = ['MOSEK'] # It is recommended to use mosek when optimizing EVaR \n",
    "port.alpha = 0.05 # Significance level for CVaR, EVaR y CDaR \n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'EVaR' # Risk measure used, this time will be EVaR\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.PlotFunctions as plf\n",
    "\n",
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = plf.plot_pie(w=w, title='Sharpe Mean - Entropic Value at Risk', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>10.0497%</td>\n",
       "      <td>1.0883%</td>\n",
       "      <td>6.1898%</td>\n",
       "      <td>12.0556%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.1722%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>22.5166%</td>\n",
       "      <td>0.5111%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>14.2619%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.0240%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.6822%</td>\n",
       "      <td>5.2150%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>18.6379%</td>\n",
       "      <td>10.5611%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.9525%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>15.8355%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.8012%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>10.2290%</td>\n",
       "      <td>2.3763%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>23.7225%</td>\n",
       "      <td>10.7548%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>16.7013%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>1.1188%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>10.6464%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>26.1754%</td>\n",
       "      <td>8.9894%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>16.5501%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>9.1042%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>27.5218%</td>\n",
       "      <td>6.5950%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>15.9744%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      APA      BA      BAX      BMY   CMCSA      CNP      CPB      DE     HPQ  \\\n",
       "0 0.0000% 0.0000%  0.0000% 10.0497% 1.0883%  6.1898% 12.0556% 0.0000% 0.0000%   \n",
       "1 0.0000% 0.0000%  7.6822%  5.2150% 0.0000% 18.6379% 10.5611% 0.0000% 0.0000%   \n",
       "2 0.0000% 0.0000% 10.2290%  2.3763% 0.0000% 23.7225% 10.7548% 0.0000% 0.0000%   \n",
       "3 0.0000% 0.0000% 10.6464%  0.0000% 0.0000% 26.1754%  8.9894% 0.0000% 0.0000%   \n",
       "4 0.0000% 0.0000%  9.1042%  0.0000% 0.0000% 27.5218%  6.5950% 0.0000% 0.0000%   \n",
       "\n",
       "      JCI  ...      NI    PCAR      PSA     SEE       T      TGT     TMO  \\\n",
       "0 0.0000%  ... 1.1722% 0.0000% 22.5166% 0.5111% 0.0000% 14.2619% 0.0000%   \n",
       "1 0.0000%  ... 0.0000% 0.0000%  7.9525% 0.0000% 0.0000% 15.8355% 0.0000%   \n",
       "2 0.0000%  ... 0.0000% 0.0000%  0.4035% 0.0000% 0.0000% 16.7013% 0.0000%   \n",
       "3 0.0000%  ... 0.0000% 0.0000%  0.0000% 0.0000% 0.0000% 16.5501% 0.0000%   \n",
       "4 0.0000%  ... 0.0000% 0.0000%  0.0000% 0.0000% 0.0000% 15.9744% 0.0000%   \n",
       "\n",
       "      TXT      VZ    ZION  \n",
       "0 0.0000% 1.0240% 0.0000%  \n",
       "1 0.0000% 0.8012% 0.0000%  \n",
       "2 0.0000% 1.1188% 0.0000%  \n",
       "3 0.0000% 0.0000% 0.0000%  \n",
       "4 0.0000% 0.0000% 0.0000%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 40 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the efficient frontier\n",
    "\n",
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "mu = port.mu # Expected returns\n",
    "cov = port.cov # Covariance matrix\n",
    "returns = port.returns # Returns of the assets\n",
    "\n",
    "ax = plf.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                       rf=rf, alpha=0.05, cmap='viridis', w=w, label=label,\n",
    "                       marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "\n",
    "ax = plf.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Risk Parity Portfolios for EVaR\n",
    "\n",
    "### 3.1 Calculating the risk parity portfolio for EVaR.\n",
    "\n",
    "The risk parity portfolio for the EVaR risk measure is the solution of the problem:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "& \\min_{w,\\, z} & & \\text{EVaR}_{\\alpha}(r w) - b \\ln(w)\\\\\n",
    "& & & 1^{T}w = 0 \\\\\n",
    "& & & w \\geq 0 \\\\\n",
    "\\end{aligned}\n",
    "$$\n",
    "\n",
    "Where $w$ are the weights of assets, $b$ is the vector of constraints, by default is a vector of 1/(number of assets)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>2.7991%</td>\n",
       "      <td>2.7650%</td>\n",
       "      <td>3.4861%</td>\n",
       "      <td>4.6725%</td>\n",
       "      <td>3.5159%</td>\n",
       "      <td>5.4989%</td>\n",
       "      <td>7.7328%</td>\n",
       "      <td>2.9530%</td>\n",
       "      <td>2.6928%</td>\n",
       "      <td>3.2651%</td>\n",
       "      <td>...</td>\n",
       "      <td>6.3965%</td>\n",
       "      <td>3.2295%</td>\n",
       "      <td>6.0921%</td>\n",
       "      <td>3.5805%</td>\n",
       "      <td>4.0332%</td>\n",
       "      <td>5.5855%</td>\n",
       "      <td>3.2472%</td>\n",
       "      <td>3.1239%</td>\n",
       "      <td>4.1002%</td>\n",
       "      <td>2.7940%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            APA      BA     BAX     BMY   CMCSA     CNP     CPB      DE  \\\n",
       "weights 2.7991% 2.7650% 3.4861% 4.6725% 3.5159% 5.4989% 7.7328% 2.9530%   \n",
       "\n",
       "            HPQ     JCI  ...      NI    PCAR     PSA     SEE       T     TGT  \\\n",
       "weights 2.6928% 3.2651%  ... 6.3965% 3.2295% 6.0921% 3.5805% 4.0332% 5.5855%   \n",
       "\n",
       "            TMO     TXT      VZ    ZION  \n",
       "weights 3.2472% 3.1239% 4.1002% 2.7940%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = None # Risk contribution constraints vector\n",
    "\n",
    "w_rp = port.rp_optimization(model=model, rm=rm, rf=rf, b=b, hist=hist)\n",
    "\n",
    "display(w_rp.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plf.plot_pie(w=w_rp, title='Risk Parity EVaR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Plotting Risk Composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plf.plot_risk_con(w_rp, cov=port.cov, returns=port.returns, rm=rm, rf=0, alpha=0.05,\n",
    "                       color=\"tab:blue\", height=6, width=10, ax=None)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
